Per the competition's rules, this competition allows the use of publicly, freely available external data. The source of any external data must be posted to this thread prior to the Entry Deadline.
", "messages": [ { "id": 394972, "postDate": "2018-09-27T18:44:45.940Z", "content": "Per the competition's rules, this competition allows the use of publicly, freely available external data. The source of any external data must be posted to this thread prior to the Entry Deadline.
", "rawMarkdown": "Per the competition's rules, this competition allows the use of **publicly, freely available external data**. The source of any external data must be posted to this thread prior to the Entry Deadline.", "votes": 7 }, { "id": 395044, "postDate": "2018-09-27T21:33:03.560Z", "content": "I'm using Google's hosted dataset at https://github.com/googlecreativelab/quickdraw-dataset . I don't know if the site has anything beyond what we're already given so just in case. Plus it's a good resource for others to see on this thread.
", "rawMarkdown": "I'm using Google's hosted dataset at https://github.com/googlecreativelab/quickdraw-dataset . I don't know if the site has anything beyond what we're already given so just in case. Plus it's a good resource for others to see on this thread.", "votes": 8 }, { "id": 402392, "postDate": "2018-10-11T16:20:31.243Z", "content": "models from:
\n\nhttps://github.com/Cadene/pretrained-models.pytorch
\n\nhttps://github.com/ansleliu/LightNet
\n\n\n\nhttps://github.com/mandeer/Classifier
\n\nhttps://github.com/mapillary/inplace_abn
\n\nexternal dataset:
\n\nhttp://cybertron.cg.tu-berlin.de/eitz/projects/classifysketch/
\n\nhttp://cybertron.cg.tu-berlin.de/eitz/projects/sbsr/
\n\nhttp://sketchy.eye.gatech.edu/explore/rabbit.html
\n\nhttp://multimediauts.org/sketch/dataset.html
\n\nhttps://www.eecs.qmul.ac.uk/~qian/Project_cvpr16.html
\n\nhttps://panly099.github.io/crssdomain.html
\n\nhttps://www.cc.gatech.edu/~hays/7476/projects/Cusuh/
\n\nhttp://sketchx.eecs.qmul.ac.uk/downloads/
\n\nhttps://github.com/panly099/sketchSynthesis
\n\nHuman Object Sketches:Datasets, Descriptors, Computational Recognition and 3d Shape Retrieval\n(https://d-nb.info/1029192820/34)
\n\nhttps://github.com/vlandham/quickdraw/blob/master/analysis/all_aggregates.csv
\n\nhttp://val.serc.iisc.ernet.in/eotd/epipartviz/
\n\n", "rawMarkdown": "models from:\n\nhttps://github.com/Cadene/pretrained-models.pytorch\n\nhttps://github.com/ansleliu/LightNet\n\nhttps://github.com/fyu/drn\n\nhttps://github.com/mandeer/Classifier \n\nhttps://github.com/mapillary/inplace_abn\n\nexternal dataset:\n\nhttp://cybertron.cg.tu-berlin.de/eitz/projects/classifysketch/\n\nhttp://cybertron.cg.tu-berlin.de/eitz/projects/sbsr/\n\nhttp://sketchy.eye.gatech.edu/explore/rabbit.html\n\nhttp://multimediauts.org/sketch/dataset.html\n\nhttps://www.eecs.qmul.ac.uk/~qian/Project_cvpr16.html\n\nhttps://panly099.github.io/crssdomain.html\n\nhttps://www.cc.gatech.edu/~hays/7476/projects/Cusuh/\n\nhttp://sketchx.eecs.qmul.ac.uk/downloads/\n\nhttps://github.com/panly099/sketchSynthesis\n\nHuman Object Sketches:Datasets, Descriptors, Computational Recognition and 3d Shape Retrieval\n(https://d-nb.info/1029192820/34)\n\nhttps://github.com/vlandham/quickdraw/blob/master/analysis/all_aggregates.csv\n\nhttp://val.serc.iisc.ernet.in/eotd/epipartviz/\n\nSketchyscene http://openaccess.thecvf.com/content_ECCV_2018/papers/Changqing_Zou_SketchyScene_Richly-Annotated_Scene_ECCV_2018_paper.pdf", "votes": 5 }, { "id": 402895, "postDate": "2018-10-12T14:32:09.647Z", "content": "keras pre-trained:
\n\nhttps://github.com/keras-team/keras-applications
", "rawMarkdown": "keras pre-trained:\n\n[https://github.com/keras-team/keras-applications][1]\n\n\n [1]: https://github.com/keras-team/keras-applications", "votes": 3, "replies": [ { "id": 408098, "postDate": "2018-10-22T10:09:10.187Z", "content": "I use keras pre-trained models too
", "rawMarkdown": "I use keras pre-trained models too " } ] }, { "id": 420172, "postDate": "2018-11-13T07:37:50.030Z", "content": "Keras pre-trained models from:\nhttps://github.com/keras-team/keras-applications\nhttps://github.com/fchollet/deep-learning-models\nhttps://github.com/qubvel/classification_models\nNo external dataset.
", "rawMarkdown": "Keras pre-trained models from:\nhttps://github.com/keras-team/keras-applications\nhttps://github.com/fchollet/deep-learning-models\nhttps://github.com/qubvel/classification_models\nNo external dataset.", "votes": 1 }, { "id": 408083, "postDate": "2018-10-22T09:36:57.813Z", "content": "Pre-trained model:\nhttps://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch
\n\nExternal Dataset: \nhttps://github.com/googlecreativelab/quickdraw-dataset
", "rawMarkdown": "Pre-trained model:\nhttps://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch\n\nExternal Dataset: \nhttps://github.com/googlecreativelab/quickdraw-dataset", "votes": 1 }, { "id": 432225, "postDate": "2018-12-03T15:23:10.567Z", "content": "https://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch
", "rawMarkdown": "https://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch" }, { "id": 432181, "postDate": "2018-12-03T14:19:35.930Z", "content": "models from:\nhttps://github.com/Cadene/pretrained-models.pytorch
", "rawMarkdown": "models from:\nhttps://github.com/Cadene/pretrained-models.pytorch" }, { "id": 432116, "postDate": "2018-12-03T12:34:40.473Z", "content": "keras pre-trained:
\n\nhttps://github.com/keras-team/keras-applications
", "rawMarkdown": "keras pre-trained:\n\nhttps://github.com/keras-team/keras-applications" }, { "id": 431885, "postDate": "2018-12-03T03:57:04.733Z", "content": "Keras pre-trained models\nhttps://github.com/keras-team/keras-applications
", "rawMarkdown": "Keras pre-trained models\nhttps://github.com/keras-team/keras-applications" }, { "id": 431552, "postDate": "2018-12-02T13:37:31.323Z", "content": "Keras models from:\nhttps://github.com/keras-team/keras-applications
", "rawMarkdown": "Keras models from:\nhttps://github.com/keras-team/keras-applications" }, { "id": 430021, "postDate": "2018-11-29T17:03:01.803Z", "content": "models from:
\n\nhttps://github.com/Cadene/pretrained-models.pytorch
", "rawMarkdown": "models from:\n\nhttps://github.com/Cadene/pretrained-models.pytorch" }, { "id": 429967, "postDate": "2018-11-29T15:56:48.273Z", "content": "Pre-trained models:-\nhttps://pytorch.org/docs/stable/torchvision/models.html
", "rawMarkdown": "Pre-trained models:-\nhttps://pytorch.org/docs/stable/torchvision/models.html" }, { "id": 429889, "postDate": "2018-11-29T14:10:44.853Z", "content": "used model from (not pretrained)\nhttps://github.com/keras-team/keras-applications\nhttps://github.com/tensorflow/models
", "rawMarkdown": "used model from (not pretrained)\nhttps://github.com/keras-team/keras-applications\nhttps://github.com/tensorflow/models" }, { "id": 429872, "postDate": "2018-11-29T13:42:38.140Z", "content": "Tensorflow models\nhttps://github.com/tensorflow/models
", "rawMarkdown": "Tensorflow models\nhttps://github.com/tensorflow/models" }, { "id": 428615, "postDate": "2018-11-27T15:30:31.343Z", "content": "Keras pre-trained models from:\nhttps://github.com/keras-team/keras-applications\nPre-trained model:\nhttps://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch\nhttps://github.com/tonylins/pytorch-mobilenet-v2\nhttps://github.com/KaiyangZhou/deep-person-reid
", "rawMarkdown": "Keras pre-trained models from:\nhttps://github.com/keras-team/keras-applications\nPre-trained model:\nhttps://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch\nhttps://github.com/tonylins/pytorch-mobilenet-v2\nhttps://github.com/KaiyangZhou/deep-person-reid" }, { "id": 428173, "postDate": "2018-11-26T21:46:59.493Z", "content": "https://github.com/keras-team/keras-applications\nhttps://github.com/fchollet/deep-learning-models\nhttps://github.com/qubvel/classification_models
", "rawMarkdown": "https://github.com/keras-team/keras-applications\nhttps://github.com/fchollet/deep-learning-models\nhttps://github.com/qubvel/classification_models" }, { "id": 427617, "postDate": "2018-11-25T21:26:58.930Z", "content": "I made a copy of \"The UJIpenchars Database: Pen-Based Database with More Than 11K Isolated Handwritten Characters\" https://www.kaggle.com/sorokin/ujipenchars2 and a simple kernel for parsing this dataset https://www.kaggle.com/sorokin/convert-ujipenchars2-to-the-quick-draw-dataset
", "rawMarkdown": "I made a copy of \"The UJIpenchars Database: Pen-Based Database with More Than 11K Isolated Handwritten Characters\" https://www.kaggle.com/sorokin/ujipenchars2 and a simple kernel for parsing this dataset https://www.kaggle.com/sorokin/convert-ujipenchars2-to-the-quick-draw-dataset" }, { "id": 427517, "postDate": "2018-11-25T17:19:15.683Z", "content": "fastai pretrained models: https://github.com/fastai/fastai
", "rawMarkdown": "fastai pretrained models: https://github.com/fastai/fastai" }, { "id": 427499, "postDate": "2018-11-25T16:05:28.850Z", "content": "I'm using keras pre-trained model:
\n\nhttps://github.com/keras-team/keras-applications
", "rawMarkdown": "I'm using keras pre-trained model:\n\nhttps://github.com/keras-team/keras-applications" }, { "id": 426032, "postDate": "2018-11-22T13:24:51.577Z", "content": "I use pretrain model from here:
\n\nhttps://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch\nhttps://github.com/keras-team/keras-applications
\n\nDidn't use any external data.
", "rawMarkdown": "I use pretrain model from here: \n\nhttps://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch\nhttps://github.com/keras-team/keras-applications\n\nDidn't use any external data." }, { "id": 425095, "postDate": "2018-11-21T06:06:28.033Z", "content": "Pre-trained model:\nhttps://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch\nNo external Data
", "rawMarkdown": "Pre-trained model:\nhttps://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch\nNo external Data" }, { "id": 424659, "postDate": "2018-11-20T14:02:06.883Z", "content": "https://github.com/qubvel/classification_models
", "rawMarkdown": "https://github.com/qubvel/classification_models" }, { "id": 424485, "postDate": "2018-11-20T07:23:50.597Z", "content": "word2vec pretrained model:\nhttps://github.com/mmihaltz/word2vec-GoogleNews-vectors
", "rawMarkdown": "word2vec pretrained model:\nhttps://github.com/mmihaltz/word2vec-GoogleNews-vectors" }, { "id": 423875, "postDate": "2018-11-19T07:16:08.477Z", "content": "https://github.com/keras-team/keras-applications
", "rawMarkdown": "https://github.com/keras-team/keras-applications" }, { "id": 422427, "postDate": "2018-11-16T07:49:58.237Z", "content": "https://github.com/keras-team/keras-applications
", "rawMarkdown": "https://github.com/keras-team/keras-applications" }, { "id": 421322, "postDate": "2018-11-14T22:45:14.327Z", "content": "https://github.com/tensorflow/magenta/tree/master/magenta/models/sketch_rnn
", "rawMarkdown": "https://github.com/tensorflow/magenta/tree/master/magenta/models/sketch_rnn" }, { "id": 421316, "postDate": "2018-11-14T22:36:37.073Z", "content": "quickdraw dataset\nhttps://github.com/googlecreativelab/quickdraw-dataset
\n\npretrained pytorch resnets using imagenet
", "rawMarkdown": "quickdraw dataset\nhttps://github.com/googlecreativelab/quickdraw-dataset\n\npretrained pytorch resnets using imagenet" }, { "id": 419207, "postDate": "2018-11-11T14:14:52.683Z", "content": "https://developers.google.com/public-data/docs/canonical/countries_csv\nhttps://opendata.socrata.com/dataset/Country-List-ISO-3166-Codes-Latitude-Longitude/mnkm-8ram/data
", "rawMarkdown": "https://developers.google.com/public-data/docs/canonical/countries_csv\nhttps://opendata.socrata.com/dataset/Country-List-ISO-3166-Codes-Latitude-Longitude/mnkm-8ram/data" }, { "id": 417888, "postDate": "2018-11-09T00:04:20.960Z", "content": "Pre-trained model:\nhttps://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch
\n\nExternal Dataset: \nhttps://github.com/googlecreativelab/quickdraw-dataset
", "rawMarkdown": "Pre-trained model:\nhttps://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch\n\nExternal Dataset: \nhttps://github.com/googlecreativelab/quickdraw-dataset" }, { "id": 415770, "postDate": "2018-11-05T17:02:34.167Z", "content": "keras pre-trained:
\n\nhttps://github.com/keras-team/keras-applications
", "rawMarkdown": "keras pre-trained:\n\nhttps://github.com/keras-team/keras-applications" }, { "id": 414473, "postDate": "2018-11-02T20:35:54.050Z", "content": "https://keras.io/applications/#mobilenetv2
", "rawMarkdown": "https://keras.io/applications/#mobilenetv2" }, { "id": 413956, "postDate": "2018-11-01T21:30:22.987Z", "content": "pretrained models from https://github.com/tonylins/pytorch-mobilenet-v2
", "rawMarkdown": "pretrained models from https://github.com/tonylins/pytorch-mobilenet-v2" }, { "id": 413335, "postDate": "2018-10-31T18:16:31.010Z", "content": "pretrained vgg 16 https://github.com/machrisaa/tensorflow-vgg
", "rawMarkdown": "pretrained vgg 16 https://github.com/machrisaa/tensorflow-vgg\n" }, { "id": 411191, "postDate": "2018-10-27T15:33:21.583Z", "content": "pretrained models available in the fastai library
", "rawMarkdown": "pretrained models available in the fastai library\n" }, { "id": 411088, "postDate": "2018-10-27T11:32:50.683Z", "content": "CNTK Pre-trained Image Models https://github.com/Microsoft/CNTK/blob/master/PretrainedModels/Image.md
", "rawMarkdown": "CNTK Pre-trained Image Models https://github.com/Microsoft/CNTK/blob/master/PretrainedModels/Image.md" }, { "id": 409594, "postDate": "2018-10-24T14:46:47.457Z", "content": "pretrained models available in the fastai library
", "rawMarkdown": "pretrained models available in the [fastai library][1]\n\n\n [1]: https://github.com/fastai/fastai" }, { "id": 429970, "postDate": "2018-11-29T15:59:28.320Z", "rawMarkdown": "", "isDeleted": true }, { "id": 428083, "postDate": "2018-11-26T18:18:22.513Z", "rawMarkdown": "", "isDeleted": true } ], "comments": [ { "id": 395044, "author_name": "JohnM", "author_url": "", "post_date": "2018-09-27T21:33:03.560000", "content": "I'm using Google's hosted dataset at https://github.com/googlecreativelab/quickdraw-dataset . I don't know if the site has anything beyond what we're already given so just in case. Plus it's a good resource for others to see on this thread.
", "votes": 8, "replies": [] }, { "id": 402392, "author_name": "hengck23", "author_url": "", "post_date": "2018-10-11T16:20:31.243000", "content": "models from:
\n\nhttps://github.com/Cadene/pretrained-models.pytorch
\n\nhttps://github.com/ansleliu/LightNet
\n\n\n\nhttps://github.com/mandeer/Classifier
\n\nhttps://github.com/mapillary/inplace_abn
\n\nexternal dataset:
\n\nhttp://cybertron.cg.tu-berlin.de/eitz/projects/classifysketch/
\n\nhttp://cybertron.cg.tu-berlin.de/eitz/projects/sbsr/
\n\nhttp://sketchy.eye.gatech.edu/explore/rabbit.html
\n\nhttp://multimediauts.org/sketch/dataset.html
\n\nhttps://www.eecs.qmul.ac.uk/~qian/Project_cvpr16.html
\n\nhttps://panly099.github.io/crssdomain.html
\n\nhttps://www.cc.gatech.edu/~hays/7476/projects/Cusuh/
\n\nhttp://sketchx.eecs.qmul.ac.uk/downloads/
\n\nhttps://github.com/panly099/sketchSynthesis
\n\nHuman Object Sketches:Datasets, Descriptors, Computational Recognition and 3d Shape Retrieval\n(https://d-nb.info/1029192820/34)
\n\nhttps://github.com/vlandham/quickdraw/blob/master/analysis/all_aggregates.csv
\n\nhttp://val.serc.iisc.ernet.in/eotd/epipartviz/
\n\n", "votes": 5, "replies": [] }, { "id": 402895, "author_name": "outrunner", "author_url": "", "post_date": "2018-10-12T14:32:09.647000", "content": "keras pre-trained:
\n\nhttps://github.com/keras-team/keras-applications
", "votes": 3, "replies": [ { "id": 408098, "author_name": "Serigne ", "author_url": "", "post_date": "2018-10-22T10:09:10.187000", "content": "I use keras pre-trained models too
", "votes": 0, "replies": [] } ] }, { "id": 420172, "author_name": "seigato", "author_url": "", "post_date": "2018-11-13T07:37:50.030000", "content": "Keras pre-trained models from:\nhttps://github.com/keras-team/keras-applications\nhttps://github.com/fchollet/deep-learning-models\nhttps://github.com/qubvel/classification_models\nNo external dataset.
", "votes": 1, "replies": [] }, { "id": 408083, "author_name": "LarryHuang", "author_url": "", "post_date": "2018-10-22T09:36:57.813000", "content": "Pre-trained model:\nhttps://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch
\n\nExternal Dataset: \nhttps://github.com/googlecreativelab/quickdraw-dataset
", "votes": 1, "replies": [] }, { "id": 432225, "author_name": "bestfitting", "author_url": "", "post_date": "2018-12-03T15:23:10.567000", "content": "https://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch
", "votes": 0, "replies": [] }, { "id": 432181, "author_name": "Tim Wu", "author_url": "", "post_date": "2018-12-03T14:19:35.930000", "content": "models from:\nhttps://github.com/Cadene/pretrained-models.pytorch
", "votes": 0, "replies": [] }, { "id": 432116, "author_name": "HAN CHEN", "author_url": "", "post_date": "2018-12-03T12:34:40.473000", "content": "keras pre-trained:
\n\nhttps://github.com/keras-team/keras-applications
", "votes": 0, "replies": [] }, { "id": 431885, "author_name": "lippyt", "author_url": "", "post_date": "2018-12-03T03:57:04.733000", "content": "Keras pre-trained models\nhttps://github.com/keras-team/keras-applications
", "votes": 0, "replies": [] }, { "id": 431552, "author_name": "Niclas Stoltenberg", "author_url": "", "post_date": "2018-12-02T13:37:31.323000", "content": "Keras models from:\nhttps://github.com/keras-team/keras-applications
", "votes": 0, "replies": [] }, { "id": 430021, "author_name": "chicm", "author_url": "", "post_date": "2018-11-29T17:03:01.803000", "content": "models from:
\n\nhttps://github.com/Cadene/pretrained-models.pytorch
", "votes": 0, "replies": [] }, { "id": 429967, "author_name": "Shekhar Jha", "author_url": "", "post_date": "2018-11-29T15:56:48.273000", "content": "Pre-trained models:-\nhttps://pytorch.org/docs/stable/torchvision/models.html
", "votes": 0, "replies": [] }, { "id": 429889, "author_name": "hahaha", "author_url": "", "post_date": "2018-11-29T14:10:44.853000", "content": "used model from (not pretrained)\nhttps://github.com/keras-team/keras-applications\nhttps://github.com/tensorflow/models
", "votes": 0, "replies": [] }, { "id": 429872, "author_name": "beluga", "author_url": "", "post_date": "2018-11-29T13:42:38.140000", "content": "Tensorflow models\nhttps://github.com/tensorflow/models
", "votes": 0, "replies": [] }, { "id": 428615, "author_name": "JiaqiFan", "author_url": "", "post_date": "2018-11-27T15:30:31.343000", "content": "Keras pre-trained models from:\nhttps://github.com/keras-team/keras-applications\nPre-trained model:\nhttps://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch\nhttps://github.com/tonylins/pytorch-mobilenet-v2\nhttps://github.com/KaiyangZhou/deep-person-reid
", "votes": 0, "replies": [] }, { "id": 428173, "author_name": "Lukasz Grad", "author_url": "", "post_date": "2018-11-26T21:46:59.493000", "content": "https://github.com/keras-team/keras-applications\nhttps://github.com/fchollet/deep-learning-models\nhttps://github.com/qubvel/classification_models
", "votes": 0, "replies": [] }, { "id": 427617, "author_name": "ivan", "author_url": "", "post_date": "2018-11-25T21:26:58.930000", "content": "I made a copy of \"The UJIpenchars Database: Pen-Based Database with More Than 11K Isolated Handwritten Characters\" https://www.kaggle.com/sorokin/ujipenchars2 and a simple kernel for parsing this dataset https://www.kaggle.com/sorokin/convert-ujipenchars2-to-the-quick-draw-dataset
", "votes": 0, "replies": [] }, { "id": 427517, "author_name": "Alexander Schumacher", "author_url": "", "post_date": "2018-11-25T17:19:15.683000", "content": "fastai pretrained models: https://github.com/fastai/fastai
", "votes": 0, "replies": [] }, { "id": 427499, "author_name": "Hoàng Tùng Lâm", "author_url": "", "post_date": "2018-11-25T16:05:28.850000", "content": "I'm using keras pre-trained model:
\n\nhttps://github.com/keras-team/keras-applications
", "votes": 0, "replies": [] }, { "id": 426032, "author_name": "wh1te", "author_url": "", "post_date": "2018-11-22T13:24:51.577000", "content": "I use pretrain model from here:
\n\nhttps://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch\nhttps://github.com/keras-team/keras-applications
\n\nDidn't use any external data.
", "votes": 0, "replies": [] }, { "id": 425095, "author_name": "Mir Mustafa Ali", "author_url": "", "post_date": "2018-11-21T06:06:28.033000", "content": "Pre-trained model:\nhttps://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch\nNo external Data
", "votes": 0, "replies": [] }, { "id": 424659, "author_name": "Guanshuo Xu", "author_url": "", "post_date": "2018-11-20T14:02:06.883000", "content": "https://github.com/qubvel/classification_models
", "votes": 0, "replies": [] }, { "id": 424485, "author_name": "Satoshi Tanaka", "author_url": "", "post_date": "2018-11-20T07:23:50.597000", "content": "word2vec pretrained model:\nhttps://github.com/mmihaltz/word2vec-GoogleNews-vectors
", "votes": 0, "replies": [] }, { "id": 423875, "author_name": "Ashish Lal", "author_url": "", "post_date": "2018-11-19T07:16:08.477000", "content": "https://github.com/keras-team/keras-applications
", "votes": 0, "replies": [] }, { "id": 422427, "author_name": "TPloveYXT520", "author_url": "", "post_date": "2018-11-16T07:49:58.237000", "content": "https://github.com/keras-team/keras-applications
", "votes": 0, "replies": [] }, { "id": 421322, "author_name": "Dmytro Danevskyi", "author_url": "", "post_date": "2018-11-14T22:45:14.327000", "content": "https://github.com/tensorflow/magenta/tree/master/magenta/models/sketch_rnn
", "votes": 0, "replies": [] }, { "id": 421316, "author_name": "marii", "author_url": "", "post_date": "2018-11-14T22:36:37.073000", "content": "quickdraw dataset\nhttps://github.com/googlecreativelab/quickdraw-dataset
\n\npretrained pytorch resnets using imagenet
", "votes": 0, "replies": [] }, { "id": 419207, "author_name": "Artyom Palvelev", "author_url": "", "post_date": "2018-11-11T14:14:52.683000", "content": "https://developers.google.com/public-data/docs/canonical/countries_csv\nhttps://opendata.socrata.com/dataset/Country-List-ISO-3166-Codes-Latitude-Longitude/mnkm-8ram/data
", "votes": 0, "replies": [] }, { "id": 417888, "author_name": "Finlay", "author_url": "", "post_date": "2018-11-09T00:04:20.960000", "content": "Pre-trained model:\nhttps://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch
\n\nExternal Dataset: \nhttps://github.com/googlecreativelab/quickdraw-dataset
", "votes": 0, "replies": [] }, { "id": 415770, "author_name": "", "author_url": "", "post_date": "2018-11-05T17:02:34.167000", "content": "", "votes": 0, "replies": [] }, { "id": 414473, "author_name": "", "author_url": "", "post_date": "2018-11-02T20:35:54.050000", "content": "", "votes": 0, "replies": [] }, { "id": 413956, "author_name": "", "author_url": "", "post_date": "2018-11-01T21:30:22.987000", "content": "", "votes": 0, "replies": [] }, { "id": 413335, "author_name": "", "author_url": "", "post_date": "2018-10-31T18:16:31.010000", "content": "", "votes": 0, "replies": [] }, { "id": 411191, "author_name": "", "author_url": "", "post_date": "2018-10-27T15:33:21.583000", "content": "", "votes": 0, "replies": [] }, { "id": 411088, "author_name": "", "author_url": "", "post_date": "2018-10-27T11:32:50.683000", "content": "", "votes": 0, "replies": [] }, { "id": 409594, "author_name": "", "author_url": "", "post_date": "2018-10-24T14:46:47.457000", "content": "", "votes": 0, "replies": [] }, { "id": 429970, "author_name": "", "author_url": "", "post_date": "2018-11-29T15:59:28.320000", "content": "", "votes": 0, "replies": [] }, { "id": 428083, "author_name": "", "author_url": "", "post_date": "2018-11-26T18:18:22.513000", "content": "", "votes": 0, "replies": [] } ], "raw_markdown_by_id": { "394972": "Per the competition's rules, this competition allows the use of **publicly, freely available external data**. The source of any external data must be posted to this thread prior to the Entry Deadline.", "395044": "I'm using Google's hosted dataset at https://github.com/googlecreativelab/quickdraw-dataset . I don't know if the site has anything beyond what we're already given so just in case. Plus it's a good resource for others to see on this thread.", "402392": "models from:\n\nhttps://github.com/Cadene/pretrained-models.pytorch\n\nhttps://github.com/ansleliu/LightNet\n\nhttps://github.com/fyu/drn\n\nhttps://github.com/mandeer/Classifier \n\nhttps://github.com/mapillary/inplace_abn\n\nexternal dataset:\n\nhttp://cybertron.cg.tu-berlin.de/eitz/projects/classifysketch/\n\nhttp://cybertron.cg.tu-berlin.de/eitz/projects/sbsr/\n\nhttp://sketchy.eye.gatech.edu/explore/rabbit.html\n\nhttp://multimediauts.org/sketch/dataset.html\n\nhttps://www.eecs.qmul.ac.uk/~qian/Project_cvpr16.html\n\nhttps://panly099.github.io/crssdomain.html\n\nhttps://www.cc.gatech.edu/~hays/7476/projects/Cusuh/\n\nhttp://sketchx.eecs.qmul.ac.uk/downloads/\n\nhttps://github.com/panly099/sketchSynthesis\n\nHuman Object Sketches:Datasets, Descriptors, Computational Recognition and 3d Shape Retrieval\n(https://d-nb.info/1029192820/34)\n\nhttps://github.com/vlandham/quickdraw/blob/master/analysis/all_aggregates.csv\n\nhttp://val.serc.iisc.ernet.in/eotd/epipartviz/\n\nSketchyscene http://openaccess.thecvf.com/content_ECCV_2018/papers/Changqing_Zou_SketchyScene_Richly-Annotated_Scene_ECCV_2018_paper.pdf", "402895": "keras pre-trained:\n\n[https://github.com/keras-team/keras-applications][1]\n\n\n [1]: https://github.com/keras-team/keras-applications", "420172": "Keras pre-trained models from:\nhttps://github.com/keras-team/keras-applications\nhttps://github.com/fchollet/deep-learning-models\nhttps://github.com/qubvel/classification_models\nNo external dataset.", "408083": "Pre-trained model:\nhttps://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch\n\nExternal Dataset: \nhttps://github.com/googlecreativelab/quickdraw-dataset", "432225": "https://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch", "432181": "models from:\nhttps://github.com/Cadene/pretrained-models.pytorch", "432116": "keras pre-trained:\n\nhttps://github.com/keras-team/keras-applications", "431885": "Keras pre-trained models\nhttps://github.com/keras-team/keras-applications", "431552": "Keras models from:\nhttps://github.com/keras-team/keras-applications", "430021": "models from:\n\nhttps://github.com/Cadene/pretrained-models.pytorch", "429967": "Pre-trained models:-\nhttps://pytorch.org/docs/stable/torchvision/models.html", "429889": "used model from (not pretrained)\nhttps://github.com/keras-team/keras-applications\nhttps://github.com/tensorflow/models", "429872": "Tensorflow models\nhttps://github.com/tensorflow/models", "428615": "Keras pre-trained models from:\nhttps://github.com/keras-team/keras-applications\nPre-trained model:\nhttps://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch\nhttps://github.com/tonylins/pytorch-mobilenet-v2\nhttps://github.com/KaiyangZhou/deep-person-reid", "428173": "https://github.com/keras-team/keras-applications\nhttps://github.com/fchollet/deep-learning-models\nhttps://github.com/qubvel/classification_models", "427617": "I made a copy of \"The UJIpenchars Database: Pen-Based Database with More Than 11K Isolated Handwritten Characters\" https://www.kaggle.com/sorokin/ujipenchars2 and a simple kernel for parsing this dataset https://www.kaggle.com/sorokin/convert-ujipenchars2-to-the-quick-draw-dataset", "427517": "fastai pretrained models: https://github.com/fastai/fastai", "427499": "I'm using keras pre-trained model:\n\nhttps://github.com/keras-team/keras-applications", "426032": "I use pretrain model from here: \n\nhttps://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch\nhttps://github.com/keras-team/keras-applications\n\nDidn't use any external data.", "425095": "Pre-trained model:\nhttps://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch\nNo external Data", "424659": "https://github.com/qubvel/classification_models", "424485": "word2vec pretrained model:\nhttps://github.com/mmihaltz/word2vec-GoogleNews-vectors", "423875": "https://github.com/keras-team/keras-applications", "422427": "https://github.com/keras-team/keras-applications", "421322": "https://github.com/tensorflow/magenta/tree/master/magenta/models/sketch_rnn", "421316": "quickdraw dataset\nhttps://github.com/googlecreativelab/quickdraw-dataset\n\npretrained pytorch resnets using imagenet", "419207": "https://developers.google.com/public-data/docs/canonical/countries_csv\nhttps://opendata.socrata.com/dataset/Country-List-ISO-3166-Codes-Latitude-Longitude/mnkm-8ram/data", "417888": "Pre-trained model:\nhttps://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch\n\nExternal Dataset: \nhttps://github.com/googlecreativelab/quickdraw-dataset", "415770": "keras pre-trained:\n\nhttps://github.com/keras-team/keras-applications", "414473": "https://keras.io/applications/#mobilenetv2", "413956": "pretrained models from https://github.com/tonylins/pytorch-mobilenet-v2", "413335": "pretrained vgg 16 https://github.com/machrisaa/tensorflow-vgg\n", "411191": "pretrained models available in the fastai library\n", "411088": "CNTK Pre-trained Image Models https://github.com/Microsoft/CNTK/blob/master/PretrainedModels/Image.md", "409594": "pretrained models available in the [fastai library][1]\n\n\n [1]: https://github.com/fastai/fastai", "429970": "", "428083": "" } }